Editorial Infrastructure for Content Agencies

Client-ready copy.
Premium edits.
Under 10 minutes.

API costs are up and LLM quality is down. Your editorial floor shouldn't move with either.

Five articles processed concurrently in under 10 minutes Watch the demo · 4 min
Editorial Pedigree
The Problem It Solves

Every agency running AI-first content knows this problem.

Editors churn $25–80/hour on 30-minute tasks, but their QA standard falls apart the moment volume picks up.

Posting “99 AI fingerprints to watch out for” misses the forest for the trees. You can prompt away em-dashes and binary syntax like “not only X, but also Y.” There are deeper problems no one is contending with: anchor text dropped into sentences built around it, transitions forced into campy voice or absent entirely, every sentence asserting itself from a void like it could be anywhere in any article.

You cannot fix this with a Claude prompt.

When your clients ask if it's AI:
You say it's premium editorial QA.

The bottleneck: a queue that forms when 40 articles need a QA pass and two editors have capacity for twelve. EditStack has no queue. Submit 5 articles at 9am. Receive 5 client-ready drafts by 9:10.

EditStack is the editorial QA pipeline that enterprise analogs will not match on price or precision for years.

See It Run
Before
After
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What It Does

EditStack is a multi-node editorial pipeline. Automated passes run across every article you submit, five articles at a time through isolated editing agents, so volume holds the standard steady. No prompting required after setup. The pipeline runs against a fixed reference corpus on a schedule, and quality drift is caught by that run before it reaches your clients.

01
Introduction
Opening paragraph rebuilt to journalistic standard. Specific, active, with a defined angle. No throat-clearing. No generic scene-setting.
02
Voice Calibration
Active voice enforced across the full draft. Paragraph rhythm corrected. Sentence weight varied for emphasis and forward motion.
03
Verified Sourcing
Every empirical claim automatically verified against peer-reviewed databases and formatted to APA standard. No unsourced assertions reach the client.
04
SEO Integration
Internal links and anchor text organically woven into semantically appropriate copy. Primary and secondary keywords placed with precision.
05
SEO, GEO and AEO
Long-tail query targets, high-volume conversational search patterns, and answer engine optimization signals integrated throughout the draft without disrupting flow.
06
AI Fingerprint Removal
Passive constructions, hedge language, false contrasts, and filler transitions stripped out. Updated continuously as LLMs develop new verbal patterns.
07
Structural Editing
Section order corrected against canonical patterns. Headers rewritten for keyword density. Redundancy stripped.
08
Length Control
You set the length. The article arrives at that number, on every run.
09
Fact-Check Pass
Fast-moving field claims smoothed to directional statements. Verifiable facts checked against scientific consensus. Nothing confidently wrong ships.
10
Claim Provenance
Every factual claim in the delivered article is traced against your original draft. Anything the editing introduced is checked against independent sources and corrected before delivery.
11
Audit Trail
Every run leaves a record: what changed, which claims were checked, what the sources said, and why anything was rewritten. Your client can see the reasoning behind the edit.
12
Formatted Output
Output lands in your Google Doc, formatted and ready to send. Heading hierarchy, citations, and metadata intact.
How It Works
01
Submit
Send your draft through the EditStack form with your SEO and GEO deliverables. URL, target keyword, internal links, secondary keywords. Set the word count and the edit intensity per article: Preserve keeps the author’s voice and corrects what is wrong, Full Polish rebuilds at the sentence level.
02
Pipeline Runs
Over 90 editorial nodes execute in sequence. Voice, structure, sourcing, linking, fingerprint removal, final assembly.
03
Receive Output
Client-ready copy lands in your Google Doc. Formatted, cited, linked, and ready to hand to the client.
04
Submit Again
Your SEO and GEO deliverables and brand voice brief configure each run. No ongoing manual prompting between submissions.
Who Built This

Built by a senior editor.

EditStack was built by Brad Bergan, a senior editor with 15+ years across science, finance, culture, and technology. Bylines and editorial roles at Bloomberg, VICE, NBC News, Discover, and The World Economic Forum. Two published books through Quarto Group, including a #1 Amazon bestseller.

Most editorial AI tools are LLM wrappers built by engineers who have never edited at scale. EditStack was built by someone who has. That judgment is now encoded into infrastructure that runs automatically.

› Most editorial AI tools are LLM wrappers built by engineers who have never edited at scale.

EditStack encodes the judgment that takes a decade to develop into infrastructure that runs in minutes on every article you submit.

Pricing
Starter
Monthly Plan
$997
per month · up to 250 articles
  • 250 article runs per month
  • Five articles concurrently, back in under 10 minutes
  • Voice calibration to your client roster
  • Google Docs formatted output
  • White glove onboarding session
  • No per-article fees within quota

Pricing locks for the first three months. Early clients set the baseline before rates adjust for new subscribers.

Scale
Monthly Plan
$1,597
per month · up to 500 articles
  • 500 article runs per month
  • Five articles concurrently, back in under 10 minutes
  • Deep voice calibration across all client voices
  • Google Docs formatted output
  • White glove onboarding + monthly calibration call
  • No per-article fees within quota

The choice for agencies scaling AI-assisted content without sacrificing editorial standards.

Enterprise
Monthly Plan
$2,497
per month · up to 1,000 articles
  • 1,000 article runs per month
  • Five articles concurrently, back in under 10 minutes
  • Full voice architecture across all client verticals
  • Custom integration into your existing workflow. White-label the capability under your own brand
  • Dedicated onboarding + bi-weekly calibration calls
  • Custom pipeline configuration on request
  • Priority support and direct builder access

Built for agencies running serious volume. Bespoke setup and hands-on support from the builder.

Editorial QA runs itself.
You run the agency.

EditStack is in limited early access. A small number of pilots are open now. If your agency is running AI-assisted content at volume and the editorial bottleneck is real, apply below.